Maciej Orkisz
Claude Bernard University Lyon 1
105 Papers
792 Citations
Maciej Orkisz is an academic researcher from Claude Bernard University Lyon 1. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 22, co-authored 96 publications. Previous affiliations of Maciej Orkisz include Institut national des sciences Appliquées de Lyon & Lyon College.
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Papers
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms
Michiel Schaap,Coert Metz,Theo van Walsum,Alina G. van der Giessen,Annick C. Weustink,Nico R. Mollet,Christian Bauer,Hrvoje Bogunovic,Carlos Castro,Xiang Deng,Engin Dikici,Thomas F. O'Donnell,Michel Frenay,Ola Friman,Marcela Hernández Hoyos,Pieter H. Kitslaar,Karl Krissian,Caroline Kühnel,Miguel Luengo-Oroz,Maciej Orkisz,Örjan Smedby,Martin Styner,Andrzej Szymczak,Huseyin Tek,Chunliang Wang,Simon K. Warfield,Sebastian Zambal,Yong Zhang,Gabriel P. Krestin,Wiro J. Niessen,Wiro J. Niessen +30 more
TL;DR: A standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms and a database containing 32 cardiac CTA datasets with corresponding reference standard is described and made available.
421
Improved vessel visualization in MR angiography by nonlinear anisotropic filtering.
TL;DR: Noise level reduction, contrast enhancement, and improved small vessel visibility achieved by this filter are illustrated on dynamic contrast‐enhanced subtraction MRA images of the lower limbs.
79
Computer-assisted analysis of three-dimensional MR angiograms.
Marcela Hernández-Hoyos,Maciej Orkisz,Philippe Puech,Catherine Mansard-Desbleds,Philippe Douek,Isabelle E. Magnin +5 more
TL;DR: Quantitative results obtained from application of the MARACAS method showed that the vessel centerline correctly tracked the vessel path and that contours were correctly estimated, and the computation of stenosis severity was accurate.
71
A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA
Marcela Hernández-Hoyos,Alfred Anwander,Maciej Orkisz,J.P. Roux,Philippe Douek,Isabelle E. Magnin +5 more
- 11 Oct 2000
TL;DR: The main goal of this work is to develop a fast and reliable method for stenosis quantification by extraction of the vessel axis by an expansible skeleton method and area measurements based on the resulting contours allow the calculation of stenosis parameters.
Learning from only positive and unlabeled data to detect lesions in vascular CT images
Maria A. Zuluaga,Don Hush,Edgar J. F. Delgado Leyton,Marcela Hernández Hoyos,Maciej Orkisz +4 more
- 18 Sep 2011
TL;DR: A new algorithm capable of detecting both calcified and non-calcified plaques in CT images is presented, which is comparable to state-of-the-art supervised methods, and the performance can improve after additional iterations.